30 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, implement, and support data infrastructure for large-scale analytics needs.
- Extract, transform, and load data from diverse sources using Redshift SQL, Spark SQL, and AWS big data technologies.
- Optimize data pipelines and build and manage Python-based automation tools.
- Build business process automation, analytics deliverables, reporting capabilities, and AI-powered products.
- Improve reporting, analysis, and self-service support processes through automation and simplification.
- Partner with business owners, technology teams, stakeholders, peers, customers, and internal or external teams.
- Explore and adopt newer AWS technologies to provide capabilities and improve efficiency.
- Develop deep domain knowledge of Amazon’s business and deliver high-quality results independently.
Requirements
- At least 3 years of data engineering experience.
- Experience with SQL, data modeling, data warehousing, and ETL pipeline development.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience manipulating, processing, and extracting value from large datasets as a data engineer or related professional.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, and IAM roles and permissions.
- Preferred experience with big data technologies including Hadoop, Hive, Spark, and EMR.
- Preferred experience delivering end-to-end projects independently.
- Preferred experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
- Strong verbal and written communication, self-direction, ownership, and business-oriented problem-solving abilities.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.